The Experience

The AI Solutions team in Technology & Product builds the products and platforms that help Salesforce engineers use AI coding tools safely, effectively, and measurably. Our work spans DevBar, AI usage telemetry, code attribution, budget governance, developer intelligence, and the integrations that make AI tools easier to adopt at Salesforce scale.

As a Lead Member of Technical Staff, you will design, build, and own full-stack product and platform capabilities across desktop applications, backend services, data pipelines, dashboards, and developer-facing integrations. You will help turn fast-moving AI developer productivity ideas into reliable software that thousands of Salesforce engineers can use every day.

What You'll Actually Be Doing

• Design and ship full-stack features across AI Solutions products, including DevBar, AI metrics, AI attribution, Limits, and related developer intelligence surfaces.

• Build backend APIs, data models, ingestion flows, dashboards, and user experiences that connect AI tool usage to outcomes engineers and leaders can act on.

• Lead technical design for integrations with AI coding tools and internal platforms, turning ambiguous requirements into maintainable, scalable software.

• Own what you build in production by improving observability, reliability, performance, and supportability as part of the software development lifecycle.

• Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.

• Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.

• Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.

• Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance.

You're Our Person If...

• 6+ years of experience designing and building production software, including full-stack applications, backend services, developer tools, or internal platforms.

• Strong programming skills and experience working across frontend, backend, APIs, data stores, and distributed system boundaries. (At least 2 of the following: Java, Python, Rust, C++, Javascript/Typescript)

• Experience taking ambiguous product or platform requirements from design through implementation, testing, rollout, and production ownership.

• Ability to communicate clearly with engineers and partners, make sound technical tradeoffs, and lead complex work across teams.

• A demonstrated, genuine AI-first approach to engineering — using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor) to move faster, build fluency across the stack, and contribute well beyond your core specialty.

• Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.

• A related technical degree is required.

Even Better If...

• Experience building developer tools, AI coding tool integrations, internal platforms, telemetry systems, or enterprise desktop applications.

• Familiarity with React, TypeScript, Go, service APIs, event pipelines, analytics systems, or cloud and Kubernetes-based services.

• Experience building self-service experiences, dashboards, plugin systems, command-line tools, or standard integration patterns for engineering teams.

• Interest in AI developer productivity and helping engineering teams adopt AI tools in ways that are measurable, trustworthy, and scalable.